Backpropagation Mechanics, Higher-Order Derivatives, and Multi-GPU Model Partitioning
Neural network training relies on two distinct phases within the computational graph. Forward propagation sequences calculations from the input layer toward the output, storing intermediate states. Conversely, backpropagation traverses the graph in reverse, computing gradients for parameters and int...